3. Results
The total number of countries included in the study was 102 because the rest of the country’s average intelligence quotient scores were not available. Among those 102 countries, twenty-one (21) were excluded from the analysis because of missing data related to emotional awareness. The final data set had a total of 81 countries. He countries with highest IQ was Singapore (108), Hong Kong (108), Japan (105), Netherland (102), Switzerland (102). All these countries have emotional awareness score of less than 50 with lowest in Singapore being 36. In her contrary, United States, the global superpower, and Canada both have the highest emotional awareness of 54 and IQ of 98 and 101 respectively. This data indicates that geographic location, size of the country and population does impact gross national income. The China despite having lower average emotional awareness score of 46, have higher average intelligence quotient of 104. This possibly places China in a disadvantaged position to take over world superpower status as it needs more of an emotional control than intelligence to lead the world.
Table 1.
Ranked list of countries from 1st to 20th by the average national income: Demonstrating when emotional awareness (EA) increases, intelligence quotient (IQ) decreases and vice versa.
Table 1.
Ranked list of countries from 1st to 20th by the average national income: Demonstrating when emotional awareness (EA) increases, intelligence quotient (IQ) decreases and vice versa.
| |
Income Rank |
EA |
IQ |
Average Income |
Education Expense |
CP Index |
| 1 |
Luxembourg |
50 |
99 |
54254 |
204 |
80 |
| 2 |
Switzerland |
49 |
102 |
50054 |
204 |
85 |
| 3 |
Denmark |
50 |
99 |
39017 |
204 |
88 |
| 4 |
Japan |
47 |
105 |
36784 |
204 |
74 |
| 5 |
Sweden |
49 |
99 |
36480 |
204 |
85 |
| 6 |
United States |
54 |
98 |
36470 |
204 |
67 |
| 7 |
Netherlands |
49 |
102 |
33689 |
204 |
82 |
| 8 |
Austria |
47 |
100 |
32004 |
204 |
76 |
| 9 |
Finland |
50 |
101 |
31447 |
204 |
85 |
| 10 |
United Kingdom |
49 |
100 |
30986 |
204 |
77 |
| 11 |
Germany |
47 |
100 |
30892 |
204 |
80 |
| 12 |
Belgium |
52 |
100 |
30741 |
204 |
76 |
| 13 |
Kuwait |
50 |
85 |
29283 |
204 |
42 |
| 14 |
Ireland |
51 |
94 |
28420 |
204 |
72 |
| 15 |
Canada |
54 |
101 |
27683 |
204 |
77 |
| 16 |
Italy |
47 |
97 |
25889 |
204 |
53 |
| 17 |
Australia |
50 |
99 |
25665 |
204 |
77 |
| 18 |
Singapore |
36 |
108 |
25561 |
906 |
85 |
| 19 |
Hong Kong |
46 |
108 |
25419 |
915 |
77 |
| 20 |
Spain |
53 |
97 |
19808 |
884 |
62 |
Role of a country’s culture on wealth: Table 2 shows that there is virtually no correlation between IQ and EA in this sample of countries, with a correlation coefficient of .04. This shows that IQ and EA measure completely different characteristics. However, both are related to gross national income, corruption perception index (CPI), and other measures of good governance such as democracy index, electoral process & pluralism, functioning of government, political participation, educational expenses, and civil liberties. Together, all these measures can be considered as cultural index of a country or a nation.
Table 2.
Correlation matrix of variables of measures of good governance and intelligence.
Table 2.
Correlation matrix of variables of measures of good governance and intelligence.
| |
LOG GNI |
GNI |
IQ |
EA |
IQ*EI |
DI |
EPP |
FG |
PP |
CL |
CPI |
EE |
| LOG National Income |
1.00 |
|
|
|
|
|
|
|
|
|
|
|
| Gross National Income (GNI) |
0.87* |
1.00 |
|
|
|
|
|
|
|
|
|
|
| Intelligence Quotient (IQ) |
0.77* |
0.59* |
1.00 |
|
|
|
|
|
|
|
|
|
| Emotional Awareness (EA) |
0.32* |
0.32* |
0.04 |
1.00 |
|
|
|
|
|
|
|
|
| Democracy Index (DI) |
0.72* |
0.60* |
0.55* |
0.36* |
0.68* |
1.00 |
|
|
|
|
|
|
| Electoral process & Pluralism (EPP) |
0.59* |
0.46* |
0.47* |
0.31* |
0.58* |
0.94* |
1.00 |
|
|
|
|
|
| Functioning of Government (FG) |
0.71* |
0.59* |
0.59* |
0.39* |
0.72* |
0.93* |
0.84* |
1.00 |
|
|
|
|
| Political Participation (PP) |
0.67* |
0.57* |
0.51* |
0.31* |
0.61* |
0.90* |
0.81* |
0.80* |
1.00 |
|
|
|
| Civil Liberty (CL) |
0.71* |
0.57* |
0.54* |
0.31* |
0.65* |
0.97* |
0.93* |
0.88* |
0.85* |
1.00 |
|
|
| Corruption Perception Index (CPI) |
0.85* |
0.76* |
0.67* |
0.27* |
0.74* |
0.82* |
0.68* |
0.84* |
0.73* |
0.80* |
1.00 |
|
| Educational Expenses (EE) |
0.60* |
0.36* |
0.49* |
0.06 |
0.42* |
0.33* |
0.27* |
0.32* |
0.27* |
0.38* |
0.49* |
1.00 |
Among the top 20 wealthiest countries, only Singapore has emotional awareness less than 40. All other countries have emotional awareness higher than 46 or above. And only 4 countries are in Asia and the rest of the 16 countries are in Europe. This indicates that European nations have higher emotional awareness which is associated with higher wealth building. Given the IQ and EA only explains 67% of the wealth, the rest can be explained by style or culture of a nation as there is continental difference of wealth among all nations. This study defines positive culture by good standing democracy, higher educational expense, lack of corruption, and fair collaboration among individuals. Higher emotional awareness is linked to positive culture as the population with higher emotional awareness tends to have better democracy, and less corruption. Also, individuals might work better together due to lack of jealousy and back stabbings. Higher emotional awareness might help individuals being good at negotiations and achieve better deals which leads to higher wealth. European nations conquered many of the countries in Asia, Africa, and the Americas. This indicates Europeans like to get control of any deals which leads to long term wealth building. It’s possible that negative (jealous) cultures like titles, glory, and prestige are more than control. For example, British empire provides knights and designation of “Sir” title to its subjects. In many countries in Asian cultures, jealousy is predominant which is not seen in western cultures. This jealousy is a manifestation of lower emotional control which leads to lack of collaboration between individuals despite having higher intelligence. Alternatively, jealousy can be explained as backstabbing in western culture but due to higher emotional awareness, people possibly restrain them from exposure. In addition, in western culture, due to higher emotional control, the population are aware of effects of jealousy on business collaborations, hence display humble behavior to avoid jealousy.
The study used Bayesian method to assign weight for factors that can lead to better deal making capacity between cultures. To solve any uncertainty, all the factors associated with decision-making are provided a weight (likelihood ratio). The likelihood ratio is calculated using statistical law. In each culture, these weights can be cultural values, instead of weight. People from different cultures place values differently on different factors leading to different scores for each factor. This leads to different sum totals leading to different decision-making among whites and non-whites.
Table 3 also explains why western (positive) culture can work with all other cultures (negative or semi-negative cultures) leading to wealth building via crafting business deals as they are looking for control over upfront financial value and understands BATNA better. In contrast, negative cultures fail to work with themselves or semi negative cultures as both are looking for prestige, glory, title and upfront financial wealth than long term control. This cultural difference in preferences in crafting deals can explain the difference in wealth distribution in
Table 1.
Component of Human Intelligence: Human intelligence cannot be derived from IQ measures alone as it does not reflect all the categories of intelligence needed to gain wealth. There is a significant contribution of emotional awareness to wealth building. In addition, human IQ is measured using multiple different components. It is important to understand different components of IQ components and assess their impact on wealth building. To investigate the composition of human intelligence, we need to look at how computer works (except computers do not have emotional awareness). Like computers, humans have hard drive memory (which is long term memory), and analytic reasoning (which is random access memory, RAM). But in the case of humans, you cannot customize all the components to unlimited value, rather add all the components to 100. If you increase the analytic reasoning capacity of an individual, you will give up long term memory or emotional control. No one can increase any component of intelligence without losing performance in another domain. If the brain development is maximized, everyone will have equal capacity like in a pie chart (the total is 100). The question is who is growing which component of intelligence? If you have better emotional control, you will lose analytic reasoning or long-term memory. If you have a strong memory, you will lose capacity for analytic reasoning or long-term memory. It is well known that A students works for the B students. According to
Figure 1, the A student will look like a person with comparatively higher long-term memory than analytic reasoning skills (as long-term memory capacity occupies the space of analytic reasoning). On the contrary, the B student has comparatively higher analytic reasoning than long-term memory (as analytic reasoning capacity occupies the space of long-term memory). Due to strong memory function and higher than average analytic reason, the A student always averts risks. The B students lack memory of historical failures and due to lack of memory, they jump into new (challenging) initiatives leading to success in entrepreneurships. Subsequently, the A students join the B students’ venture if they are successful (work for the B student). However, the C students have very strong emotional control and interpersonal communication skills and lower long-term memory and analytic reasoning as allocated space for intelligence space is occupied by larger emotional control segments. This phenomenon leads to the C students running the country or being in more leadership roles successfully.
Composite Intelligence Scores: Using univariate analyses, the study found that composite intelligence score (sum of intelligence quotient and emotional awareness score) is highly correlated with log transformed per capita income, yielding a significant p-value (<0.05). This model had an R-square value of 0.56 which indicates 56% variability of income (log transformed) was explained by the composite intelligence score. It is important to note that the R-squared value of intelligence quotient regressed on income rank was 0.44, and the R-squared value of emotional awareness regressed on income rank was merely 0.11. Thus, composite intelligence score has a much stronger effect in determining potential income compared to intelligence quotient alone.
The Author's prior study reported in the multivariate regression analysis, both the intelligence quotient and emotional awareness were individually found significant [
1]. In addition, the correlation coefficient between intelligence quotient and emotional awareness was also found not significant, indicating that both are measuring two different characteristics. Collectively, these findings indicate that emotional awareness modulates the effect of intelligence quotient differently. A similar finding was reported at the individual level by Cote and Miners in 2006, where EA can be more important to individuals with low IQ [
3].
This effect of composite intelligence score is the hidden code that elucidates the nuanced relationship between income, intelligence quotient and emotional awareness. In a multivariate analysis, the most predictive model included four variables: intelligence quotient and emotional awareness, educational expenditure (e.g., career choice), and the corruption perception index (e.g., social injustice). All four variables were highly significant, and the model had an R-squared value of 0.73, meaning that these four variables were able to explain 73% of the variance in the income ranks. With a country’s average income depending on a countless number of inconceivable variables, it is surprising that just four variables were able to capture so much of the underlying mechanism. That's why just these four variables can be considered as the wealth code for economic success for any given nation. To examine the relationship between the intelligence quotient and emotional awareness, the tertiles of the emotional awareness and intelligence quotient sorted by income were shown in
Table 4.
Table 3 shows the impact of wealth increases exponentially when emotional awareness is increased among the group with the highest intelligence quotient tertiles. Among the highest (third) quartile of intelligence quotient, the average income was
$10,373,
$32,473 and
$31,529 for the lowest, middle and highest tertiles of emotional awareness, respectively. However, increase of income due to increase in emotional awareness is not as drastic among the group with lowest intelligence quotient. Among the lowest (first) quartile of intelligence quotient, the average income was
$1,122,
$1,396 and
$3,886 for the lowest, middle and highest tertiles of emotional awareness, respectively. Again, there are increasing trends of income potential among the tertiles of intelligence quotient and emotional awareness separately. The average income for the lowest tertiles of intelligence quotient was
$1,582 and highest tertiles was
$24,792. Again, the average income for the lowest tertiles of emotional awareness was
$4,312 and highest tertiles was
$17,680. If all other factors are held constant in each country, this phenomenon of intelligence quotient and emotional awareness on income should also work at an individual group level.
Figure 3.
Changes in composite intelligence over time when surrounded by negative culture. The negative culture is defined by presence of jealousy, lack of democracy, high corruption, and low educational expense.
Figure 3.
Changes in composite intelligence over time when surrounded by negative culture. The negative culture is defined by presence of jealousy, lack of democracy, high corruption, and low educational expense.
Figure 4.
Changes in composite intelligence over time when surrounded by positive culture. A positive culture is defined by democracy, low corruption, and high educational expenses.
Figure 4.
Changes in composite intelligence over time when surrounded by positive culture. A positive culture is defined by democracy, low corruption, and high educational expenses.